MULTICONF
www.promoteresearch.org
Some Novel Research Reported in Previous Events
www.PromoteResearch.Org
Mark P. Woodward and Robert J. Wood from Harvard University, USA have presented a system that uses Bayesian inference and make robots to learn tasks from their human teachers. This research was presented in their paper "Using Bayesian Inference to Learn High-Level Tasks from a Human Teacher" that was accepted and presented at MULTICONF-09
Atulya Velivelli and Thomas Huang from the University of Illinois at Urbana – Champaign, USA have presented a dual function Gaussian process ordinal regression model in their paper “Gaussian Process Based Dual Latent Function Approach to Ordinal Regression”. The paper was published in MULTICONF-08 proceedings.
Xiaobo Zhang, Heping Wang and Ashfaq Khokhar from the University of Illinois at Chicago, USA have presented an energy-efficient cluster-based data gathering algorithm for event driven applications that exhibit bursty and dynamic traffic. This research was presented in their paper “An Energy-efficient Data Gathering Scheme for Event Driven Applications in Sensor Network” that was published in MULTICONF-07 proceedings.
Gabriela Serban and István Gergely Czibula from the Babes-Bolyai University, Romania have presented a new clustering algorithm that can be used for improving system design process and for assisting software engineers in their daily works of refactoring software systems. The research was presented in their paper “A New Clustering Approach for Systems Design Improvement” that was published in MULTICONF-07 proceedings.